Building Context-Aware Search in Python with LLM Embeddings + Metadata

Explore the best Python web development repositories for building APIs, full-stack web apps, dashboards, machine learning demos, internal tools, and interactive Python-based user interfaces.

In this tutorial, we implement a hands-on workflow for NVIDIA cuTile Python, a tile-based GPU programming interface for CUDA-style kernels in Python. We prepare a Colab-friendly environment and check GPU, driver, CUDA, and cuTile availability before running kernels. We then build tiled vector addition, matrix addition, and matrix multiplication, keeping a PyTorch fallback so the notebook stays executable. We validate correctness against PyTorch and benchmark median runtimes at every stage. The post NVIDIA cuTile Python Tutorial: Building Tiled GPU Kernels for Vector Addition, Matrix Addition, and Matrix Multiplication in Colab appeared first on MarkTechPost.

Threat actors are continuing their onslaught against software supply chains, now with malware named after death itself. The newly-discovered Hades Campaign is a “highly sophisticated” supply chain compromise that targets Python developer environments and runs as soon as infected packages are imported. It uses the popular Bun toolkit to silently execute multi-layer payloads that can extract sensitive data, move laterally across compromised systems, exploit common security frameworks, and even hijack AI gatekeeper analyzer systems via adversarial prompt injection. Notably, the campaign exploited the popular C++ library ensmallen, as well as packages in the computational biology, bioinformatics, and genotype-phenotype analysis ecosystems. The most novel thing about this malware is its combination of advanced tactics, noted David Shipley of Beauceron Security. He noted that we’ve seen memory-focused malware, we’ve seen attacks that attempt to defuse large language model (LLM) powered analy

This is how LLMs are used today to increase precision in recommendation systems The post Increase Recommendation Systems’ Precision with LLMs, Using Python appeared first on Towards Data Science.

A widely used JavaScript implementation of Google’s Protocol Buffers format is placing too much trust in untrusted data, exposing affected applications to remote code execution and other attacks. Researchers at Cyera have disclosed six vulnerabilities affecting “protobuf.js,” all stemming from the library’s handling of schema and metadata. Attackers could exploit an input validation oversight to insert malicious data and influence an application’s behavior. Protocol Buffers is a technology for packaging data in a compact, structured format to streamline the exchange of information between different applications. The protobuf.js library reportedly receives more than 50 million weekly downloads. It is commonly pulled into applications indirectly through dependencies such as gRPC tooling, Google Cloud libraries, and other frameworks, making it difficult for organizations to track. Researchers disclosed six CVEs covering remote code execution, denial-of-service (DoS) conditions, prototype

In this article, we will explore five critical Python concepts that every AI engineer must know to build scalable, secure, and robust systems.

Researchers have spent more than 15 years picking apart Satoshi Nakamoto’s emails, code commits, and PDF metadata, and what they found rarely surfaces in mainstream coverage. Researchers have combed through white paper PDF metadata, source code commits, private emails, forum archives, and blockchain data to build a picture of Bitcoin’s creator that goes well beyond […]

An introduction to multi-agent systems The post Building a Multi-Agent System in Python appeared first on Towards Data Science.